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Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w

A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.

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Physicists turned to the “doubly magic” tin isotope Sn-132, colliding it with a target at Oak Ridge National Laboratory to assess its properties as it lost a neutron to become Sn-131.

ORNL researchers Gaute Hagen, Masaaki Matsuda, and Parans Paranthaman has been elected fellow of the American Physical Society.

Three researchers from the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Physical Society (APS). Fellows of the APS are recognized for their exceptional contributions to the physics enterprise in outstanding resear...